| Machine learning emulation of high resolution inundation maps E Briseid Storrøsten, N Ragu Ramalingam, S Lorito, M Volpe, ... Geophysical Journal International 238 (1), 382-399, 2024 | 1 | 2024 |
| A hybrid ML-physical modelling approach for efficient probabilistic tsunami hazard and risk assessment N Ragu Ramalingam, A Rao, K Johnson, M Pagani, M Martina Proceedings of the 19th Annual Meeting of the Asia Oceania Geosciences …, 2023 | 1 | 2023 |
| Advancing nearshore and onshore tsunami hazard approximation with machine learning surrogates N Ragu Ramalingam, K Johnson, M Pagani, M Martina Natural Hazards and Earth System Sciences Discussions 2024, 1-32, 2024 | | 2024 |
| ML Surrogate for Tsunami Forecasting and Hazard Assessment in Eastern Sicily N Ragu Ramalingam, E Briseid Storrøsten, S Gibbons, K Johnson, ... EGU General Assembly Conference Abstracts, 1142, 2024 | | 2024 |
| Emulators for Predicting Tsunami Inundation Maps at High Resolution SJ Gibbons, E Briseid Storrøsten, N Ramalingam, S Lorito, M Volpe, ... EGU General Assembly Conference Abstracts, 5048, 2024 | | 2024 |
| ML Surrogate for Tsunami Forecasting and Hazard Assessment in Eastern Sicily MM Naveen Ragu Ramalingam, Erlend Briseid Storrøsten, Steven Gibbons, Kendra ... EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-1142, 2024 | | 2024 |
| ML Surrogate for Tsunami Forecasting and Hazard Assessment in Eastern Sicily NR Ramalingam, EB Storrøsten, S Gibbons, K Johnson, G Davies, ... EGU24, 2024 | | 2024 |
| PREDICTING TSUNAMI INUNDATION AND IMPACTS - USING OFFSHORE WAVE DATA AND ML FOR RAPID ASSESSMENT MM N. Ragu Ramalingam, A. Rao, A. Abbate, E. Briseid Storrøsten, K. Johnson ... The 18th World Conference on Earthquake Engineering (WCEE2024)At: Milan …, 2024 | | 2024 |
| Efficient Probabilistic Tsunami Hazard and Risk Assessment Using a Hybrid Modeling Approach: A Systematic Evaluation N Ragu Ramalingam, A Abbate, E Briseid Storrøsten, K Johnson, ... EGU General Assembly Conference Abstracts, EGU-16906, 2023 | | 2023 |
| A HYBRID ML-PHYSICAL MODELLING APPROACH FOR EFFICIENT PROBABILISTIC TSUNAMI HAZARD AND RISK ASSESSMENT NR Ramalingam¹, A Rao, K Johnson, M Pagani, M Martina Proceedings Of The 19th Annual Meeting Of The Asia Oceania Geosciences …, 2023 | | 2023 |
| Nearshore and Onshore Approximation of Tsunami Hazard using Autoencoder Approach N Ragu Ramalingam, K Johnson, A Rao, M Pagani, MLV Martina AGU Fall Meeting Abstracts 2022, NH44A-03, 2022 | | 2022 |
| A hybrid ML-physical modelling approach for efficient approximation of tsunami waves at the coast for probabilistic tsunami hazard assessment N Ragu Ramalingam, K Johnson, M Pagani, M Martina EGU General Assembly Conference Abstracts, EGU22-5642, 2022 | | 2022 |
| Practical Approaches for Probabilistic Tsunami Hazard and Risk Assessment NR Ramalingam, M Martina 10.13140/RG.2.2.28949.65760, 2021 | | 2021 |
| Practical Approaches for Probabilistic Tsunami Hazard and Risk Assessment N RAGU RAMALINGAM Second International Conference on Natural Hazards and Risks in a Changing …, 2021 | | 2021 |
| Hydrological Modelling of Wainganga Sub basin using Variable infiltration model R Naveen, R P.V., A Hakeem K, K M.S. Annual Conference on Innovations and Developments in Civil Engineering …, 2014 | | 2014 |
Marco PaganiGlobal Earthquake Model Foundation在 globalquakemodel.org 的电子邮件经过验证
